* UI: implement basic UI components
* util: implement performance monitor; wrap it with a viewmodel
* util: implement user preferences utility
* UI: implement core flow's screens
* UI: add a new MainActivity; update manifest
* [WIP] DI: implement simple local vm factory provider
* UI: disable triggering drawer via gesture; enable alert dialog on back navigation inside conversation and benchmark
* UI: allow drawer's gesture control only on Home and Settings screens; enable alert dialog on back navigation inside conversation and benchmark
* UI: split a nested parent settings screen into separate child settings screens
* UI: polish system prompt setup UI
* Deps: bump Kotlin plugin; introduce KSP; apply in :app subproject
* DB: setup Room database
* data: introduce repo for System Prompt; flow data from Room to VM
* bugfix: properly handle user's quitting conversation screen while tokens in generation
* UI: rename `ModeSelection` to `ModelLoading` for better clarity
* UI: update app name to be more Arm
* UI: polish conversation screen
* data: code polish
* UI: code polish
* bugfix: handle user quitting on model loading
* UI: locks user in alert dialog when model is unloading
* vm: replace token metrics stubs with actual implementation
* UI: refactor top app bars
* nit: combine temperatureMetrics and useFahrenheit
* DI: introduce Hilt plugin + processor + lib dependencies
* DI: make app Hilt injectable
* DI: make viewmodels Hilt injectable
* DI: replace manual DI with Hilt DI
* UI: optimize AppContent's composing
* bugfix: wait for model to load before navigating to benchmark screen; use NavigationActions instead of raw navController
* UI: navigation with more natural animated transitions
* DI: Optimize AppModule
* Feature: Introduce ModelRepository and ModelsManagementViewModel; update AppModule
* UI: polish UI for ModelsManagementScreen; inject ModelsManagementVieModel
* DI: abstract the protocol of SystemPromptRepository; update AppModule
* data: [WIP] prepare for ModelRepository refactor & impl
* data: introduce Model entity and DAO; update DI module
* UI: replace Models Management screen's stubbing with instrumentation
* UI: polish sort order menu
* data: import local model with file picker
* bugfix: use List instead of Collection for ModelDao's deletion
* data: add a util file for extracting file name & size and model metadata
* UI: enrich ModelManagementState; extract filename to show correct importing UI
* UI: implement multiple models deletion; update Models Management screen
* UI: handle back navigation when user is in multi-selection mode
* util: extract file size formatting into ModelUtils
* UI: add a confirmation step when user picks a file; refactor model import overlay into AlertDialog
* UI: extract a shared ModelCard component
* UI: replace model selection screen's data stubbing; add empty view
* nit: tidy SystemPromptViewModel
* Util: split FileUtils from ModelUtils; extract copy methods into FileUtils
* data: pass through getModelById from ModelDao into ModelRepository
* core: extract conversation and benchmark logics into InferenceManager; add logs and missing state updates in stub InferenceEngine
* vm: split mono MainViewModel into separate individual ViewModels
* vm: merge SystemPromptViewModel into ModelLoadingViewModel
* core: break down InferenceManager due to Interface Segregation Principle
* UI: show model card in Model Loading screen
* UI: show model card in Conversation screen
* UI: unify Model Card components
* core: swap in LLamaAndroid and mark stub engine for testing only
* data: allow canceling the ongoing model import
* UI: update UI ongoing model import's cancellation
* LLama: update engine state after handling the cancellation of sendUserPrompt
* VM: handle the cancellation of ongoing token generation
* LLama: refactor loadModel by splitting the system prompt setting into a separate method
* feature: check for available space before copying local model
* UI: centralize the AppScaffold and modularize its configs
* UI: refactor BottomBarConfig.ModelsManagement APIs
* UI: combine TopBarConfig and BottomBarConfig into each route's ScaffoldConfig
* UI: replace ugly optional as casts in AppScaffold with extension functions
* UI: fix the typo `totalGb` in `StorageMetrics`
* UI: remove code duplication in sort menu
* LLama: add ModelUnloadingState to engine State; add missing state checks in stub engine; fix instrumentation engine's error messages
* UI: refactor back handling by removing centralized BackHandlerSetup and UnloadModelConfirmationDialog from AppContent
* UI: implement BenchmarkScreen's individual back handling
* LLama: add a new Initializing state; ; add two extension properties; rename LibraryLoaded state to Initialized
* UI: Introduce an abstract ViewModel to handle additional model unloading logics
* UI: expose a single facade ModelUnloadDialogHandler; move UnloadModelState into ModelUnloadingViewModel.kt
* UI: migrate ModelLoadingScreen onto ModelLoadingViewModel; update & refine ModelLoadingScreen
* UI: migrate ConversationViewModel onto ModelLoadingViewModel; update & refine ConversationScreen
* nit: extract app name into a constant value; remove unused onBackPressed callbacks
* UI: update AppContent to pass in correct navigation callbacks
* nit: polish ModelLoadingScreen UI
* core: throw Exception instead of returning null if model fails to load
* navigation: sink model loading state management from AppContent down into ModelLoadingScreen; pass ModelLoadingMetrics to Benchmark and Conversation screens
* gguf: add GGUF metadata data holder and its corresponding extractor implementation
* DB: introduce Kotlin serialization extension's library and plugin; add Room runtime library
* GGUF: make GgufMetadata serializable in order to be compatible with Room
* nit: refactor data.local package structure
* nit: rename lastUsed field to dateLastUsed; add dateAdded field
* UI: refactor ModelCard UI to show GGUF metadata
* UI: update ModelSelectionScreen with a preselect mechanism
* UI: polish model card
* nit: allow deselect model on Model Selection screen
* nit: revert accidental committing of debug code
* UI: polish ModelLoading screen
* util: extract formatting helper functions from FileUtils into a new FormatUtils
* UI: polish model cards on Benchmark and Conversation screens to show model loading metrics
* UI: show a Snack bar to warn user that system prompt is not always supported
* UI: handle back press on Model Selection screen
* UI: finally support theme modes; remove hardcoded color schemes, default to dynamic color scheme implementation
* feature: support searching on Model Selection screen
* nit: move scaffold related UI components into a separate package
* UI: extract InfoView out into a separate file for reusability
* data: move Model related actions (query, filter, sort) into ModelInfo file
* UI: animate FAB on model preselection states
* feature: support filtering in Model Management screen
* ui: show empty models info in Model Management screen
* ui: add filter off icon to "Clear filters" menu item
* [WIP] ui: polish Benchmark screen; implement its bottom app bar
* ui: polish Benchmark screen; implement its bottom app bar's rerun and share
* nit: disable mode selection's radio buttons when loading model
* feature: implement Conversation screen's bottom app bar
* pkg: restructure BottomAppBars into separate files in a child package
* pkg: restructure TopBarApps into separate files in a child package
* pkg: restructure system metrics into a separate file
* UI: polish Conversation screen
* data: update system prompt presets
* UI: allow hide or show model card on Conversation & Benchmark screens; fix message arrangement
* data: update & enhance system prompt presets
* deps: introduce Retrofit2
* data: implement HuggingFace data model, data source with Retrofit API
* data: update Model data repository to support fetching HuggingFace models
* [WIP] UI: replace the HuggingFace stub in Model Management screen with actual API call
* UI: map language codes into country Emojis
* ui: add "clear results" action to Benchmark screen
* nit: print current pp & tg in llama-bench
* UI: disable landscape mode; prevent duplicated benchmark running
* llama: migrate C/CXX flags into CMakeList
* [WIP] llama: ABI split builds five .so artifacts.
However, all .so are performing on SVE level
* [WIP] llama: ABI split where five tiers are built sequentially.
* [WIP] llama: disable OpenMP in ABI split since most SoCs are big.LITTLE
* [WIP] llama: enable KleidiAI and disable tier 4 due to `+sve+sve2` bug caused by `ggml_add_cpu_backend_variant_impl` as explained below
```CMake
if (NOT SME_ENABLED MATCHES -1)
...
set(PRIVATE_ARCH_FLAGS "-fno-tree-vectorize;${PRIVATE_ARCH_FLAGS}+sve+sve2")
...
```
* core: add Google's cpu_features as a submodule
* core: implement cpu_detector native lib
* core: swap out hardcoded LlamaAndroid library loading
* core: add back OpenMP due to huge perf loss on TG128
* misc: reorg the pkg structure
* misc: rename LlamaAndroid related class to InferenceEngine prefixes
* [WIP] lib: move GgufMetadata into the lib submodule
* lib: expose GgufMetadataReader as interface only
* lib: replace the naive & plain SharedPreferences with DataStore implementation
* lib: hide the internal implementations, only expose a facade and interfaces
* lib: expose Arm features
* di: add a stub TierDetection; provide both actual impl and stub in AppModule
* UI: add visualizer UI for Arm features
* misc: UI polish
* lib: refactored InferenceEngineLoader; added a `NONE` Llama Tier
* UI: support `NONE` Llama Tier in general settings
* lib: optimize engine loader; always perform a fresh detection when cache is null
* remote: add HuggingFaceModelDetails data class
* remote: refine HuggingFaceModel data class
* nit: remove `trendingScore` field from HuggingFace model entities, weird...
* remote: refactor HuggingFaceApiService; implement download feature in HuggingFaceRemoteDataSource
* remote: fix the incorrect parse of HuggingFace's inconsistent & weird JSON response
* UI: scaffold Models Management screen and view model
* UI: implement a dialog UI to show fetched HuggingFace models.
* UI: use a broadcast receiver to listen for download complete events and show local import dialog.
* data: handle network exceptions elegantly
* pkg: restructure `data`'s packages
* data: extract local file info, copy and cleanup logics into LocalFileDataSource
* nit: minor UI patch; add missing comments
* bugfix: tapping "Home" in navigation drawer should simply close it without any navigation action.
* UI: improve autoscroll during token generation
* lib: tested on JFrog Artifactory for Maven publishing
* UI: show RAM warning if model too large
* UI: polish model management screen's error dialog
* util: add more items into the mapping table of ISO 639-1 language code to ISO 3166-1 country code
* llm: properly propagate error to UI upon failing to load selected model
* UI: avoid duplicated calculation of token metrics
* lib: read & validate the magic number from the picked source file before executing the import
* UI: add "Learn More" hyperlinks to Error dialog upon model import failures
* lib: refactor the GgufMetadataReader to take InputStream instead of absolute path as argument
* lib: fix the `SIMD` typo in Tier description
* core: verify model file path is readable
* lib: add UnsupportedArchitectureException for triaged error message
* util: split FormatUtils into multiple utils for better readability
* UI: change benchmark screen from raw markdown to table view
* bugfix: reset preselection upon running the preselected model
* misc: linter issue
* bugfix: fix the malfunctioning monitoring switch
* UI: update Arm features indicator; fix the broken hyperlinks
* UI: add quick action buttons to benchmark screen's result card
* UI: hide share fab after clearing all benchmark results
* UI: fix the model unload dialog message; elevate the model card and hide it by default on Conversation screen;
* UI: hide the stubbing actions in Conversation screen
* UI: add show/hide stats control to conversation screen's assistant message bubble; fix placeholder
* UI: add a info button to explain token metrics
* misc: remove the redundant `Companion` added due to refactoring
* UI: show corresponding system metrics detailed info upon tapping RAM / storage / temperature indicator
* UI: add info button to System Prompt switch; expand the model card by default
* UI: disable tag & language chips; add section headers to explain what they are
* misc: replace top bar indicator's spacer with padding
* UI: merge the Model Selection and Model Management into a unified Models screen
* UI: split the ModelsManagementViewModel from a unified ModelsViewModel due to huge complexity
* UI: add model loading in progress view; polish the empty model info view
* UI: polish the bottom bars and info view when no models found; show loading in progress while fetching models
* build: [BREAKING] bump the versions of libraries and plugins
* UI: fix the breaking build
* UI: add Tooltip on Import FAB for user onboarding
* UI: adds AppPreferences to track user onboarding status
* UI: tracks user's first success on importing a model
* data: add hand crafted rules to filter the models fetched from HuggingFace API
* UI: update app name & about; polish top bars' indicators & buttons
* UI: polish Hugging Face download dialog UI
* UX: implement onboarding tooltips for model import and onboarding
* misc: use sentence case for CTA button labels
* [WIP] UI: add Arm color palette from Philip.Watson3
* UI: address Rojin's UX feedbacks
* UI: address Rojin's UX feedbacks - part 2
* UI: update Arm color palette from Philip.Watson3
* data: make sure fetch preselected models in the same order of their IDs
* UI: fix UI issues in the generic settings screen and navigation drawer
* nit: address Rojin's feedbacks on model import message again
* nit: append `®` to all `Arm` labels
* UI: extract a reusable InfoAlertDialog
* core: support GGML_CPU_ALL_VARIANTS on Android!
* core: restructure Kleidi-Llama library
* core: organizing cmake arguments
* data: sort preselected models according to device's available RAM
* app: update adaptive + themed + legacy icons and app name
* UI: fix the font size auto scaling for ArmFeaturesVisualizer
* core: further improve the performance on native methods
* UI: minor color palette changes; emphasize the bottom bar FABs; fix Settings Screen menu item label
* UI: make more room for assistant message bubble's width
* UI: better usage of tertiary colors to highlight model cards but not for warnings
* UI: fix the layout issue on large font sizes
* lib: support x86-64 by dynamically set Arm related definitions
* lib: replace the factory pattern for deprecated tiered lib loading with single instance pattern
* llama: update the library name in JNI and CMake project
* llama: update the library's package name and namespace
* llama: update the app's package name and namespace
* app: bump ksp version
* app: remove deprecated SystemUIController from accompanist by migrating to EdgeToEdge
* app: extract AppContent from MainActivity to a separate file in ui package
* lib: add File version for GGUF Magic number verification
* lib: perform engine state check inclusively instead of exclusively
* lib: change `LlamaTier` to `ArmCpuTier`
* lib: remove kleidi-llama related namings
* cleanup: remove Arm AI Chat/Playground app source code; replace with the basic sample app from https://github.com/hanyin-arm/Arm-AI-Chat-Sample
Note: the full Google Play version of AI Chat app will be open will be open sourced in another repo soon, therefore didn't go through the trouble of pruning the history using `git filter-repo` here.
* [WIP] doc: update main and Android README docs; add self to code owners
* lib: revert System.load back to System.loadLibrary
* jni: introduce a logging util to filter different logging levels on different build types
* lib: enable app optimization
* doc: replace stub Google Play app URL with the actual link add screenshots; add my GitHub ID to maintainer list
* Remove cpu_features
* Fix linters issues in editorconfig-checker job
https://github.com/ggml-org/llama.cpp/actions/runs/19548770247/job/55974800633?pr=17413
* Remove unnecessary Android CMake flag
* purge include/cpu_features directory
---------
Co-authored-by: Han Yin <han.yin@arm.com>
* ggml-cpu: add ggml_thread_cpu_relax with Zihintpause support
Signed-off-by: Wang Yang <yangwang@iscas.ac.cn>
* cmake: enable RISC-V zihintpause extension for Spacemit builds
* readme : add ZIHINTPAUSE support for RISC-V
---------
Signed-off-by: Wang Yang <yangwang@iscas.ac.cn>
* model: add support for extra bufs for all devices
* hexagon: add experimental ggml-hexagon backend for the Hexagon NPU
This commit introduces a new experimental backend `ggml-hexagon` with support for the Hexagon NPU.
Highlights:
- Supports Hexagon versions: v73, v75, v79, and v81
- Targets Android devices based on Snapdragon SoCs: Gen3, 8-Elite, and 8-Elite Gen5
- Supports Q4_0, Q8_0, MXFP4, and FP32 data types
- Implements core LLM ops: MUL_MAT/MUL_MAT_ID, ADD/SUB/MUL/ADD_ID, RMS_NORM, ROPE, GLU/SWIGLU, SOFTMAX
**Note:** This backend is experimental and may exhibit instability or limited performance across supported devices.
It is intended for early testing and feedback from llama.cpp/ggml developer and user community.
Co-Authored-By: Rajdeep Ganguly <rganguly@qti.qualcomm.com>
Co-Authored-By: Todor Boinovski <todorb@qti.qualcomm.com>
* hexagon: fix format checker errors
* hexagon: update readme and cmake presets
* ci: add android-ndk-build jobs that build plain ARM64 and Snapdragon versions
* hexagon: add simple graph optimizer for stacking MUL_MAT ops with the same input
* hexagon: move ADB helper scripts into scripts/snapdragon/adb
* hexagon: replace all f/printfs with GGML_LOG_...
* readme: add hexagon to the list supported backends
* hexagon: stack malmuts with quantized inputs only
* hexagon: add TODO for fixing issues in hexagon_graph_optimize
* hexagon: update to hex-sdk 6.4.0 and add scripts for running on QDC
* scripts: fix lint errors
* scripts: update qdc pytest script to make linter happy
* hexagon: add reduce sum in fp32
* hexagon: reduce number of vector stores in matmul output
* hexagon: remove the need for vdelta in reduce-multiply-x8
* hexagon: consistent use of reduce_sum_fp32 for row_sums
* hexagon: some more matmul optimizations and comments
Optimize cases where tensor dims are not multiple of 1024 (e.g in Qwen models).
We've handled those cases already but at a higher overhead.
* hexagon: update cmake presets
* hexagon: add OPMASK support for run-bench.sh wrapper
* hexagon: update to use GGML_BACKEND_API
* hexagon: remove unused logic for setting tensor flags for the views
* hexagon: add asserts to set/get_tensor to make sure we handle complete tensors
Same asserts as the CPU backend.
* hexagon: use cpy_tensor slow path for non-host buffers
* hexagon: error checks in the buffer allocator
* cmake: move include(extProj) under ggml-hexagon
* hexagon: don't forget to delete the backend on free
* hexagon: set/get_tensor size assert apply only to quantized tensors
* hexagon: reintroduce HEX_VERBOSE wrapper for GGML_LOG_DEBUG for now
GGML_LOG_DEBUG is always enabled for test-backend-ops and the output gets in the way.
Ideally we need a bit more finer log levels.
* docs: typos in hexagon developer docs (libggm-...)
* hexagon: overhaul error handling in the session/device allocation
this should handle all failure paths in the session allocation.
* hexagon: update cmake presets to enable fp16 vectors
* hexagon: remove unused time_usec function
* hexagon: don't forget to release buffer contexts
* hexagon: fixed indents in hvx-utils (missed clang-format auto-format failure)
* hexagon: remove custom can_repeat function and use ggml_can_repeat
---------
Co-authored-by: Rajdeep Ganguly <rganguly@qti.qualcomm.com>
Co-authored-by: Todor Boinovski <todorb@qti.qualcomm.com>
* add BailingMoeV2 support
* update llm types
* undo
* undo
* update llm types
* add model collection link
* update
* almost working
* correct group selection and rename n_group_exp
* avoid large top_k and use argmax instead for now
if we had something like argmax2 that would be equivalent, but this works fine until then
* poke
* skip group selection when there are no tokens
* fix 1T conversion
* hopefully fixed expert group selection
third time's the charm?
* make expert group selection generally available
The new LLaDA2Moe model uses this method too, make it generally available regardless of architecture.
* allow n_expert_groups to be 1 (Kimi K2)
* address review suggestions
* contrib : update roles
* contrib : merge PR sections + add link to CI instructions
Updated pull request guidelines for contributors and collaborators, and clarified merging practices for maintainers.
* Minimal setup of webgpu backend with dawn. Just prints out the adapter and segfaults
* Initialize webgpu device
* Making progress on setting up the backend
* Finish more boilerplate/utility functions
* Organize file and work on alloc buffer
* Add webgpu_context to prepare for actually running some shaders
* Work on memset and add shader loading
* Work on memset polyfill
* Implement set_tensor as webgpu WriteBuffer, remove host_buffer stubs since webgpu doesn't support it
* Implement get_tensor and buffer_clear
* Finish rest of setup
* Start work on compute graph
* Basic mat mul working
* Work on emscripten build
* Basic WebGPU backend instructions
* Use EMSCRIPTEN flag
* Work on passing ci, implement 4d tensor multiplication
* Pass thread safety test
* Implement permuting for mul_mat and cpy
* minor cleanups
* Address feedback
* Remove division by type size in cpy op
* Fix formatting and add github action workflows for vulkan and metal (m-series) webgpu backends
* Fix name
* Fix macos dawn prefix path
* convert ok, load ok
* warmup ok
* test
* still does not work?
* fix padding
* temporary give up
* fix merge conflict
* build_ultravox()
* rm test
* fix merge conflict
* add necessary mtmd APIs
* first working version (only 4s of audio)
* will this monster compile?
* fix compile
* please compile
* fPIC
* fix windows
* various fixes
* clean up audio_helpers
* fix conversion
* add some debug stuff
* long audio input ok
* adapt the api
* add --audio arg
* final touch UX
* add miniaudio to readme
* fix typo
* refactor kv metadata
* mtmd_default_marker()
* musa: fix build warning (unused parameter)
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
* musa: upgrade MUSA SDK version to rc4.0.1
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
* musa: use mudnn::Unary::IDENTITY op to accelerate D2D memory copy
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
* Update ggml/src/ggml-cuda/cpy.cu
Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
* musa: remove MUDNN_CHECK_GEN and use CUDA_CHECK_GEN instead in MUDNN_CHECK
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
---------
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
* server : (experimental) vision support via libmtmd
* mtmd : add more api around mtmd_image_tokens
* mtmd : add more api around mtmd_image_tokens
* mtmd : ability to calc image hash
* shared_ptr for mtmd_image_tokens
* move hash to user-define ID (fixed)
* abstract out the batch management
* small fix
* refactor logic adding tokens to batch
* implement hashing image
* use FNV hash, now hash bitmap instead of file data
* allow decoding image embedding to be split into batches
* rm whitespace
* disable some features when mtmd is on
* fix --no-mmproj-offload
* mtmd_context_params no timings
* refactor server_inp to server_tokens
* fix the failing test case
* init
* wip
* working version
* add mtmd::bitmaps
* add test target
* rm redundant define
* test: mtmd_input_chunks_free
* rm outdated comment
* fix merging issue
* explicitly create mtmd::input_chunks
* mtmd_input_chunk_copy
* add clone()
* improve server_input struct
* clip : fix confused naming ffn_up and ffn_down
* rm ffn_i/o/g naming
* rename n_embd, n_ff
* small fix
* no check n_ff
* fix detokenize
* add const to various places
* add warning about breaking changes
* add c api
* helper: use mtmd_image_tokens_get_n_pos
* fix ctx_shift
* fix name shadowing
* more strict condition
* support remote image_url
* remote image_url log
* add CI test
* do not log base64
* add "has_multimodal" to /props
* remove dangling image
* speculative: use slot.cache_tokens.insert
* Apply suggestions from code review
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* rm can_be_detokenized
* on prmpt processing done, assert cache_tokens.size
* handle_completions_impl returns void
* adapt the new web ui
* update docs and hot topics
* rm assert
* small fix (2)
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* llava : add clip_n_output_tokens, deprecate clip_n_patches
* mtmd : add qwen2vl and qwen2.5vl
* decode_embd_batch::set_position_...
* working version
* deprecate llama-qwen2vl-cli
* correct order W, H of clip_embd_nbytes_by_img
* edit existing line in hot topics
* mtmd : merge `llava-cli` and `gemma3-cli` into single `mtmd-cli`
* support for minicpmv
* remove cpp files of llava and minicpmv
* update hot topics
* mtmd : add not supported msg for qwen2vl
* Update examples/llava/mtmd.cpp
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
This commit adds a new section to the README.md file, detailing the
usage of the XCFramework.
The motivation for this is that it might not be immediately clear to
users how to use the XCFramework in their projects and hopefully this
will help.
* sampler: turn lazy grammar trigger words to regexes
* add scripts/tool_bench.sh & .py
* constrain llama json output regardless of function name if matches at beginning
* update relaxed newline space rule in grammar tests
* support add_generation_prompt query parameter (useful for /apply_template)
* Update src/llama-grammar.cpp
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Naco Siren
Andrew Aladjev
Xuan-Son Nguyen
ixgbe
Vishal Singh
Daniel Han
Georgi Gerganov
amirai21
Max Krasnyansky
Sigbjørn Skjæret
Ron Evans
rtaluyev
Aaron Teo
Jie Fu (傅杰)
Tarek Dakhran
Zagaj
Radoslav Gerganov
Aman Gupta
Reese Levine
Olexandr88
ddh0
R0CKSTAR
Diego Devesa
tastelikefeet
Yuxuan Zhang
Daniel Bevenius
Juyoung Suk
John Bean
Lucas Moura Belo
Olivier Chafik